Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Classifies agent tasks into 4 risk tiers (GREEN/YELLOW/RED/CRITICAL). Use when assessing action reversibility before committing to an approach.
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Provides inline risk classification for agent tasks using a 4-tier model (GREEN/YELLOW/RED/CRITICAL). Uses fast heuristic file-pattern matching for low-risk tiers and delegates to Skill(attune:war-room-checkpoint) for high-risk tiers requiring full reversibility scoring.
Skill(attune:war-room) instead)| Tier | Color | Scope | Example | Verification |
|---|---|---|---|---|
| GREEN | Safe | Single file, trivial revert | Test files, docs, utils | None required |
| YELLOW | Caution | Module-level, user-visible | Components, routes, views | Conflict check and test pass |
| RED | Danger | Cross-module, security/data | Migrations, auth, database schema | War-room RS, full test, and review |
| CRITICAL | Stop | Irreversible, regulated | Data deletion, production deploy | War-room RS and human approval |
Task received
|
v
Heuristic classifier (file patterns)
|
├── GREEN/YELLOW → Apply tier, continue
|
└── RED/CRITICAL → Invoke Skill(attune:war-room-checkpoint)
for reversibility scoring (RS)
|
└── RS confirms or adjusts tier
Why hybrid: GREEN/YELLOW classification is fast and deterministic (file pattern matching). RED/CRITICAL tasks warrant the overhead of full reversibility analysis because the cost of getting them wrong is high.
Add risk tier to task metadata for downstream consumption:
{
"id": "5",
"subject": "Add user authentication",
"metadata": {
"risk_tier": "YELLOW",
"risk_reason": "Modifies src/components/LoginForm.tsx (user-visible component)",
"classified_at": "2026-02-07T22:00:00Z"
}
}
Tasks without risk_tier metadata default to GREEN (backward compatible).
The 4-tier Readiness Levels system provides clear risk classification with required controls per tier:
| Level | Name | When | Required Controls |
|---|---|---|---|
| 0 | Routine | Low blast radius, easy rollback | Basic validation, rollback step |
| 1 | Watch | User-visible changes | Review, negative test, rollback note |
| 2 | Elevated | Security/compliance/data | Adversarial review, risk checklist |
| 3 | Critical | Irreversible, regulated | Human confirmation, two-step verification |
See modules/readiness-levels.md for full level definitions,
selection decision tree, and integration guidance.
Risk classification sets how carefully a change is verified.
Automation tiers set how autonomously the agent acts and when it
must hand control back. Each risk tier carries a default automation
tier (GREEN to A3 autonomous, CRITICAL to A0 manual), and a
pre-licensed downgrade trigger drops the agent one tier on repeated
failure, confidence loss, a stakes spike, or repo-state mismatch
rather than re-prompting at the same level. See
modules/automation-tiers.md for the tier table and the downgrade
trigger, and imbue:assisted-mastery for the explain/produce mode
selection that reads from it.
# In your skill's frontmatter
dependencies: [leyline:risk-classification]
Append [R:TIER] marker to task format:
- [ ] T012 [P] [US1] [R:YELLOW] Create LoginForm component in src/components/LoginForm.tsx
Check risk tier before task assignment:
if task.risk_tier in ["RED", "CRITICAL"]:
invoke Skill(attune:war-room-checkpoint) for RS scoring
if CRITICAL: require human approval before proceeding
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
The English summary is being prepared. Showing the original description.
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
The English summary is being prepared. Showing the original description.
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
The English summary is being prepared. Showing the original description.
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
The English summary is being prepared. Showing the original description.
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
The English summary is being prepared. Showing the original description.